Knowledge (XXG)

DisCoCat

Source πŸ“

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Variations of DisCoCat have been proposed with a different choice for the grammar category. The main motivation behind this lies in the fact that pregroup grammars have been proved to be weakly equivalent to context-free grammars. One example of variation chooses
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There are multiple definitions of DisCoCat in the literature, depending on the choice made for the compositional aspect of the model. The common denominator between all the existent versions, however, always involves a
106:). As such, they both benefit from a graphical calculus, which allows a purely diagrammatic reasoning. Although the analogy with quantum mechanics was kept informal at first, it eventually led to the development of 570: 838:
hypothesis "A word is characterized by the company it keeps" is particularly relevant when assigning meaning to words like adjectives or verbs, whose semantic connotation is strongly dependent on context.
424: 146:. This approach has some shortcomings: all parallel arrows of a posetal category are equal, which means that pregroups cannot distinguish between different grammatical derivations for the same 1744:
Grefenstette, Edward; Dinu, Georgiana; Zhang, Yao-Zhong; Sadrzadeh, Mehrnoosh; Baroni, Marco (2013-01-30). "Multi-Step Regression Learning for Compositional Distributional Semantics".
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Coecke, Bob; de Felice, Giovanni; Meichanetzidis, Konstantinos; Toumi, Alexis (2020-12-07). "Foundations for Near-Term Quantum Natural Language Processing".
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definition of DisCoCat as a structure-preserving functor from a category of grammar to a category of semantics, which usually encodes the distributional
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Bradley, Tai-Danae; Lewis, Martha; Master, Jade; Theilman, Brad (2018). "Translating and Evolving: Towards a Model of Language Change in DisCoCat".
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Grefenstette, Edward; Sadrzadeh, Mehrnoosh (2011-06-20). "Experimental Support for a Categorical Compositional Distributional Model of Meaning".
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Coecke, Bob; Sadrzadeh, Mehrnoosh; Clark, Stephen (2010-03-23). "Mathematical Foundations for a Compositional Distributional Model of Meaning".
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sentence. A more intuitive manner of saying the same is that one works with diagrams rather than with partial orders when describing grammar.
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de Felice, Giovanni; Meichanetzidis, Konstantinos; Toumi, Alexis (2020-09-15). "Functorial Question Answering".
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Zeng, William; Coecke, Bob (2016-08-02). "Quantum Algorithms for Compositional Natural Language Processing".
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de Felice, Giovanni; Meichanetzidis, Konstantinos; Toumi, Alexis (2019). "Functorial Question Answering".
1593:"A type-driven vector semantics for ellipsis with anaphora using lambek calculus with limited contraction" 901: 897: 878: 1717: 789: 605: 369:
With this definition of pregroup grammars as free rigid categories, DisCoCat models can be defined as
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Meyer, Francois; Lewis, Martha (2020-10-12). "Modelling Lexical Ambiguity with Density Matrices".
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Kartsaklis, Dimitri (2016). "Coordination in Categorical Compositional Distributional Semantics".
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has generating objects for the words and the basic types of the grammar, and generating arrows
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Yeung, Richie; Kartsaklis, Dimitri (2021). "A CCG-based version of the DisCoCat framework".
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Selinger, Peter (2010). "A survey of graphical languages for monoidal categories".
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International Journal for Research in Applied Science and Engineering Technology
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and quantum processes shared a common mathematical structure: they both form a
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Coecke, Bob; de Felice, Giovanni; Marsden, Dan; Toumi, Alexis (2018-11-08).
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Coecke, Bob; de Felice, Giovanni; Marsden, Dan; Toumi, Alexis (2018-11-08).
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as the category of semantics is that vector spaces are the usual setting of
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In International Conference on Logical Aspects of Computational Linguistics
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The DisCoCat framework has been used to study the following phenomena from
22:(Categorical Compositional Distributional) is a mathematical framework for 1191: 139: 1889: 1862: 1838: 1811: 1788: 1710:"Prior disambiguation of word tensors for constructing sentence vectors" 1665: 1568: 1541: 1474: 1334: 1076: 917:
The DisCoCat framework has been applied to solve the following tasks in
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Preller, Anne (2014-12-27). "From Logical to Distributional Models".
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Buszkowski, Wojciech (2001). "Lambek grammars based on pregroups".
1325: 1112: 1067: 565:{\displaystyle F(w)\in F(t)=F(t_{1})\otimes \dots \otimes F(t_{n})} 1750: 1693: 1270: 1182: 1038: 426:. Spelling things out in detail, they assign a finite dimensional 1005: 999: 1400:
Sadrzadeh, Mehrnoosh; Kartsaklis, Dimitri; BalkΔ±r, Esma (2018).
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Bankova, Dea; Coecke, Bob; Lewis, Martha; Marsden, Dan (2018).
1402:"Sentence entailment in compositional distributional semantics" 1264:. Lecture Notes in Physics. Vol. 813. pp. 289–355. 1498:"Graded hyponymy for compositional distributional semantics" 1863:"Towards Compositional Distributional Discourse Analysis" 1542:"Towards Compositional Distributional Discourse Analysis" 1129:"A Review Article on Quantum Natural Language Processing" 58:
to produce the meaning of a sentence or a piece of text.
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for the dictionary entries which assign a pregroup type
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Electronic Proceedings in Theoretical Computer Science
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Electronic Proceedings in Theoretical Computer Science
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Electronic Proceedings in Theoretical Computer Science
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Electronic Proceedings in Theoretical Computer Science
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Electronic Proceedings in Theoretical Computer Science
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Electronic Proceedings in Theoretical Computer Science
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Electronic Proceedings in Theoretical Computer Science
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Electronic Proceedings in Theoretical Computer Science
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Electronic Proceedings in Theoretical Computer Science
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Mathematical framework for natural language processing
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This problem is overcome when one considers the free
419:{\displaystyle F:\mathbf {G} \to \mathbf {FinVect} } 1708:Kartsaklis, Dimitri; Sadrzadeh, Mehrnoosh (2013). 818: 771: 727: 675: 640: 594: 564: 470: 450: 418: 350: 310: 258: 238: 218: 192: 170: 1406:Annals of Mathematics and Artificial Intelligence 1591:Wijnholds, Gijs; Sadrzadeh, Mehrnoosh (2019). 779:which can be computed as the contraction of a 1221:Preller, Anne; Lambek, Joachim (2007-01-18). 318:are grammatical derivations for the sentence 8: 178:generated by the pregroup grammar. That is, 1227:Mathematical Structures in Computer Science 1597:Journal of Logic, Language and Information 1888: 1878: 1837: 1827: 1778: 1749: 1692: 1655: 1618: 1608: 1567: 1557: 1524: 1464: 1427: 1417: 1384: 1324: 1269: 1181: 1144: 1111: 1066: 1037: 830:reading in computational linguistics and 793: 791: 740: 713: 700: 688: 653: 632: 619: 607: 581: 553: 525: 483: 463: 434: 393: 385: 377: 342: 329: 323: 296: 283: 271: 251: 231: 205: 185: 183: 163: 161: 86:, and Stephen Clark as an application of 1233:(doi: 10.1017/S0960129506005901): 309. 1021: 728:{\displaystyle f:w_{1}\dots w_{n}\to s} 311:{\displaystyle f:w_{1}\dots w_{n}\to s} 94:. It started with the observation that 1726: 1715: 78:The framework was first introduced by 7: 1027: 1025: 1010:quantum natural language processing 988:Quantum natural language processing 108:quantum natural language processing 38:. The grammatical derivations in a 819:{\displaystyle \mathbf {FinVect} } 641:{\displaystyle t=t_{1}\dots t_{n}} 66:and reason about natural language 14: 812: 809: 806: 803: 800: 797: 794: 786:The reason behind the choice of 412: 409: 406: 403: 400: 397: 394: 386: 351:{\displaystyle w_{1}\dots w_{n}} 186: 164: 576:space to each dictionary entry 102:(also known as a non-symmetric 850:Combinatory categorial grammar 766: 760: 751: 745: 719: 664: 658: 586: 559: 546: 531: 518: 509: 503: 494: 488: 445: 439: 390: 302: 210: 1: 1810:Tyrrell, Brian (2018-11-08). 1502:Journal of Language Modelling 983:Categorical quantum mechanics 973:Principle of compositionality 683:). The meaning of a sentence 88:categorical quantum mechanics 36:principle of compositionality 1127:Rai, Anshuman (2022-01-31). 856:List of linguistic phenomena 772:{\displaystyle F(f)\in F(s)} 364:adjunction units and counits 358:which can be represented as 193:{\displaystyle \mathbf {G} } 171:{\displaystyle \mathbf {G} } 130:The original paper used the 1280:10.1007/978-3-642-12821-9_4 1223:"Free Compact 2-Categories" 1146:10.22214/ijraset.2022.40103 919:natural language processing 832:natural language processing 735:is then given by a vector 92:natural language processing 24:natural language processing 1940: 1620:10.1007/s10849-019-09293-4 1262:New Structures for Physics 852:as the grammar category. 1919:Computational linguistics 1429:10.1007/s10472-017-9570-x 1239:10.1017/S0960129506005901 926:Word-sense disambiguation 834:. The underlying idea of 362:with cups and caps, i.e. 968:Distributional semantics 371:strong monoidal functors 32:distributional semantics 1008:, a Python library for 148:syntactically ambiguous 104:compact closed category 1725:Cite journal requires 879:Hyponymy and hypernymy 820: 773: 729: 677: 676:{\displaystyle F(w)=1} 642: 596: 595:{\displaystyle w\to t} 566: 472: 452: 420: 352: 312: 260: 240: 220: 219:{\displaystyle w\to t} 194: 172: 62:are used to visualise 821: 774: 730: 678: 643: 597: 567: 473: 453: 421: 353: 313: 261: 241: 221: 195: 173: 46:) are interpreted as 1192:10.4204/EPTCS.171.11 790: 739: 687: 652: 606: 580: 482: 462: 451:{\displaystyle F(x)} 433: 376: 322: 270: 250: 230: 204: 182: 160: 1890:10.4204/EPTCS.283.1 1839:10.4204/EPTCS.283.3 1789:10.4204/EPTCS.323.6 1666:10.4204/EPTCS.283.4 1569:10.4204/EPTCS.283.1 1475:10.4204/EPTCS.221.4 1335:10.4204/EPTCS.323.6 1077:10.4204/EPTCS.221.8 946:Anaphora resolution 941:Machine translation 931:Semantic similarity 913:Applications in NLP 572:in the appropriate 458:to each basic type 132:categorical product 84:Mehrnoosh Sadrzadeh 936:Question answering 907:Language evolution 893:Discourse analysis 816: 769: 725: 673: 638: 592: 562: 468: 448: 416: 348: 308: 256: 236: 216: 190: 168: 40:categorial grammar 1289:978-3-642-12820-2 471:{\displaystyle x} 259:{\displaystyle w} 239:{\displaystyle t} 96:pregroup grammars 1931: 1903: 1902: 1892: 1882: 1858: 1852: 1851: 1841: 1831: 1807: 1801: 1800: 1782: 1762: 1756: 1755: 1753: 1741: 1735: 1734: 1728: 1723: 1721: 1713: 1705: 1699: 1698: 1696: 1684: 1678: 1677: 1659: 1639: 1633: 1632: 1622: 1612: 1588: 1582: 1581: 1571: 1561: 1537: 1531: 1530: 1528: 1516: 1510: 1509: 1493: 1487: 1486: 1468: 1448: 1442: 1441: 1431: 1421: 1397: 1391: 1390: 1388: 1376: 1370: 1369: 1361: 1355: 1354: 1328: 1308: 1302: 1301: 1273: 1257: 1251: 1250: 1218: 1212: 1211: 1185: 1165: 1159: 1158: 1148: 1139:(1): 1588–1594. 1124: 1118: 1117: 1115: 1103: 1097: 1096: 1070: 1050: 1044: 1043: 1041: 1029: 963:Pregroup grammar 888:density matrices 825: 823: 822: 817: 815: 778: 776: 775: 770: 734: 732: 731: 726: 718: 717: 705: 704: 682: 680: 679: 674: 647: 645: 644: 639: 637: 636: 624: 623: 601: 599: 598: 593: 571: 569: 568: 563: 558: 557: 530: 529: 477: 475: 474: 469: 457: 455: 454: 449: 425: 423: 422: 417: 415: 389: 357: 355: 354: 349: 347: 346: 334: 333: 317: 315: 314: 309: 301: 300: 288: 287: 265: 263: 262: 257: 245: 243: 242: 237: 225: 223: 222: 217: 199: 197: 196: 191: 189: 177: 175: 174: 169: 167: 144:posetal category 64:information flow 44:pregroup grammar 1939: 1938: 1934: 1933: 1932: 1930: 1929: 1928: 1924:Category theory 1909: 1908: 1907: 1906: 1860: 1859: 1855: 1809: 1808: 1804: 1764: 1763: 1759: 1743: 1742: 1738: 1724: 1714: 1707: 1706: 1702: 1686: 1685: 1681: 1641: 1640: 1636: 1590: 1589: 1585: 1539: 1538: 1534: 1518: 1517: 1513: 1495: 1494: 1490: 1450: 1449: 1445: 1399: 1398: 1394: 1378: 1377: 1373: 1363: 1362: 1358: 1310: 1309: 1305: 1290: 1259: 1258: 1254: 1220: 1219: 1215: 1167: 1166: 1162: 1126: 1125: 1121: 1105: 1104: 1100: 1052: 1051: 1047: 1031: 1030: 1023: 1018: 996: 958:Lambek calculus 954: 915: 858: 845: 788: 787: 737: 736: 709: 696: 685: 684: 650: 649: 628: 615: 604: 603: 578: 577: 549: 521: 480: 479: 460: 459: 431: 430: 374: 373: 360:string diagrams 338: 325: 320: 319: 292: 279: 268: 267: 248: 247: 228: 227: 202: 201: 180: 179: 158: 157: 116: 76: 60:String diagrams 28:category theory 17: 12: 11: 5: 1937: 1935: 1927: 1926: 1921: 1911: 1910: 1905: 1904: 1853: 1802: 1757: 1736: 1727:|journal= 1700: 1679: 1634: 1603:(2): 331–358. 1583: 1532: 1511: 1488: 1443: 1412:(4): 189–218. 1392: 1371: 1356: 1303: 1288: 1252: 1213: 1160: 1119: 1098: 1045: 1020: 1019: 1017: 1014: 1013: 1012: 1003: 995: 994:External links 992: 991: 990: 985: 980: 978:String diagram 975: 970: 965: 960: 953: 950: 949: 948: 943: 938: 933: 928: 914: 911: 910: 909: 904: 895: 890: 881: 876: 871: 857: 854: 844: 841: 836:distributional 828:distributional 814: 811: 808: 805: 802: 799: 796: 781:tensor network 768: 765: 762: 759: 756: 753: 750: 747: 744: 724: 721: 716: 712: 708: 703: 699: 695: 692: 672: 669: 666: 663: 660: 657: 635: 631: 627: 622: 618: 614: 611: 591: 588: 585: 574:tensor product 561: 556: 552: 548: 545: 542: 539: 536: 533: 528: 524: 520: 517: 514: 511: 508: 505: 502: 499: 496: 493: 490: 487: 467: 447: 444: 441: 438: 414: 411: 408: 405: 402: 399: 396: 392: 388: 384: 381: 345: 341: 337: 332: 328: 307: 304: 299: 295: 291: 286: 282: 278: 275: 255: 235: 215: 212: 209: 188: 166: 155:rigid category 115: 112: 100:rigid category 75: 72: 52:tensor product 50:acting on the 15: 13: 10: 9: 6: 4: 3: 2: 1936: 1925: 1922: 1920: 1917: 1916: 1914: 1900: 1896: 1891: 1886: 1881: 1876: 1872: 1868: 1864: 1857: 1854: 1849: 1845: 1840: 1835: 1830: 1825: 1821: 1817: 1813: 1806: 1803: 1798: 1794: 1790: 1786: 1781: 1776: 1772: 1768: 1761: 1758: 1752: 1747: 1740: 1737: 1732: 1719: 1711: 1704: 1701: 1695: 1690: 1683: 1680: 1675: 1671: 1667: 1663: 1658: 1653: 1649: 1645: 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The arrows 253: 233: 213: 207: 156: 151: 149: 145: 141: 137: 133: 128: 126: 122: 113: 111: 109: 105: 101: 97: 93: 89: 85: 81: 73: 71: 69: 65: 61: 57: 53: 49: 45: 41: 37: 33: 29: 25: 21: 1870: 1866: 1856: 1819: 1815: 1805: 1770: 1766: 1760: 1739: 1718:cite journal 1703: 1682: 1647: 1643: 1637: 1600: 1596: 1586: 1549: 1545: 1535: 1514: 1505: 1501: 1491: 1456: 1452: 1446: 1409: 1405: 1395: 1374: 1365: 1359: 1316: 1312: 1306: 1261: 1255: 1230: 1226: 1216: 1173: 1169: 1163: 1136: 1132: 1122: 1101: 1058: 1054: 1048: 916: 874:Coordination 859: 846: 785: 428:vector space 368: 152: 129: 117: 77: 56:word vectors 19: 18: 1176:: 113–131. 862:linguistics 121:categorical 48:linear maps 42:(usually a 26:which uses 1913:Categories 1880:1811.03277 1829:1811.03274 1780:1905.07408 1657:1811.11041 1610:1905.01647 1559:1811.03277 1526:2010.05670 1466:1606.01515 1419:1512.04419 1386:2105.07720 1326:1905.07408 1113:2012.03755 1068:1608.01406 1016:References 869:Entailment 843:Variations 246:to a word 142:seen as a 125:hypothesis 114:Definition 80:Bob Coecke 1899:2075-2180 1848:2075-2180 1822:: 28–49. 1797:195874109 1773:: 84–94. 1751:1301.6939 1694:1106.4058 1650:: 50–61. 1629:146120631 1578:2075-2180 1459:: 29–38. 1351:195874109 1343:2075-2180 1319:: 84–94. 1271:0908.3347 1200:2075-2180 1183:1412.8527 1155:2321-9653 1085:2075-2180 1061:: 67–75. 1039:1003.4394 884:Ambiguity 755:∈ 720:→ 707:… 626:… 587:→ 541:⊗ 538:⋯ 535:⊗ 498:∈ 391:→ 336:… 303:→ 290:… 211:→ 68:semantics 34:with the 30:to unify 1873:: 1–12. 1674:53775637 1552:: 1–12. 1483:10842035 1247:10763735 1208:18631267 1093:14897915 952:See also 902:ellipsis 898:Anaphora 140:pregroup 20:DisCoCat 1438:5038840 1298:8477212 1000:DisCoPy 138:with a 136:FinVect 74:History 1897:  1846:  1795:  1672:  1627:  1576:  1481:  1436:  1349:  1341:  1296:  1286:  1245:  1206:  1198:  1153:  1091:  1083:  1006:lambeq 602:where 1875:arXiv 1824:arXiv 1793:S2CID 1775:arXiv 1746:arXiv 1689:arXiv 1670:S2CID 1652:arXiv 1625:S2CID 1605:arXiv 1554:arXiv 1521:arXiv 1479:S2CID 1461:arXiv 1434:S2CID 1414:arXiv 1381:arXiv 1347:S2CID 1321:arXiv 1294:S2CID 1266:arXiv 1243:S2CID 1204:S2CID 1178:arXiv 1108:arXiv 1089:S2CID 1063:arXiv 1034:arXiv 886:with 1895:ISSN 1844:ISSN 1731:help 1574:ISSN 1339:ISSN 1284:ISBN 1196:ISSN 1151:ISSN 1081:ISSN 900:and 1885:doi 1871:283 1834:doi 1820:283 1785:doi 1771:323 1662:doi 1648:283 1615:doi 1564:doi 1550:283 1471:doi 1457:221 1424:doi 1331:doi 1317:323 1276:doi 1235:doi 1188:doi 1174:171 1141:doi 1073:doi 1059:221 134:of 90:to 54:of 1915:: 1893:. 1883:. 1869:. 1865:. 1842:. 1832:. 1818:. 1814:. 1791:. 1783:. 1769:. 1722:: 1720:}} 1716:{{ 1668:. 1660:. 1646:. 1623:. 1613:. 1601:28 1599:. 1595:. 1572:. 1562:. 1548:. 1544:. 1504:. 1500:. 1477:. 1469:. 1455:. 1432:. 1422:. 1410:82 1408:. 1404:. 1345:. 1337:. 1329:. 1315:. 1292:. 1282:. 1274:. 1241:. 1231:17 1229:. 1225:. 1202:. 1194:. 1186:. 1172:. 1149:. 1137:10 1135:. 1131:. 1087:. 1079:. 1071:. 1057:. 1024:^ 921:. 864:. 783:. 366:. 127:. 110:. 82:, 70:. 1901:. 1887:: 1877:: 1850:. 1836:: 1826:: 1799:. 1787:: 1777:: 1754:. 1748:: 1733:) 1729:( 1712:. 1697:. 1691:: 1676:. 1664:: 1654:: 1631:. 1617:: 1607:: 1580:. 1566:: 1556:: 1529:. 1523:: 1506:6 1485:. 1473:: 1463:: 1440:. 1426:: 1416:: 1389:. 1383:: 1368:. 1353:. 1333:: 1323:: 1300:. 1278:: 1268:: 1249:. 1237:: 1210:. 1190:: 1180:: 1157:. 1143:: 1116:. 1110:: 1095:. 1075:: 1065:: 1042:. 1036:: 813:t 810:c 807:e 804:V 801:n 798:i 795:F 767:) 764:s 761:( 758:F 752:) 749:f 746:( 743:F 723:s 715:n 711:w 702:1 698:w 694:: 691:f 671:1 668:= 665:) 662:w 659:( 656:F 634:n 630:t 621:1 617:t 613:= 610:t 590:t 584:w 560:) 555:n 551:t 547:( 544:F 532:) 527:1 523:t 519:( 516:F 513:= 510:) 507:t 504:( 501:F 495:) 492:w 489:( 486:F 466:x 446:) 443:x 440:( 437:F 413:t 410:c 407:e 404:V 401:n 398:i 395:F 387:G 383:: 380:F 344:n 340:w 331:1 327:w 306:s 298:n 294:w 285:1 281:w 277:: 274:f 254:w 234:t 214:t 208:w 187:G 165:G

Index

natural language processing
category theory
distributional semantics
principle of compositionality
categorial grammar
pregroup grammar
linear maps
tensor product
word vectors
String diagrams
information flow
semantics
Bob Coecke
Mehrnoosh Sadrzadeh
categorical quantum mechanics
natural language processing
pregroup grammars
rigid category
compact closed category
quantum natural language processing
categorical
hypothesis
categorical product
FinVect
pregroup
posetal category
syntactically ambiguous
rigid category
string diagrams
adjunction units and counits

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