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[PDF] Top 20 Automatic Word Sense Discrimination

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Automatic Word Sense Discrimination

Automatic Word Sense Discrimination

... Similarity in Word Space is based on second-order co-occurrence: two tokens or contexts of the ambiguous word are assigned to the same sense cluster if the words they co-occur with in tu[r] ... See full document

28

SemEval 2007 Task 02: Evaluating Word Sense Induction and Discrimination Systems

SemEval 2007 Task 02: Evaluating Word Sense Induction and Discrimination Systems

... We have presented the design and results of the SemEval-2007 task 02 on evaluating word sense in- duction and discrimination systems. 6 systems par- ticipated, but one of them was not a sense ... See full document

6

Word Sense and Subjectivity

Word Sense and Subjectivity

... to word senses, we showed that good agreement ...the automatic subjectivity scor- ing mechanism that we devised was able to suc- cessfully assign subjectivity labels to senses, sig- nificantly outperforming ... See full document

8

Automatic Domain Adaptation for Word Sense Disambiguation Based on Comparison of Multiple Classifiers

Automatic Domain Adaptation for Word Sense Disambiguation Based on Comparison of Multiple Classifiers

... target word type of WSD, source data, and target ...target word type of WSD, source data, and target data, but this paper determined the method for each ... See full document

9

Instance Based Learning with Automatic Feature Selection Applied to Word Sense Disambiguation

Instance Based Learning with Automatic Feature Selection Applied to Word Sense Disambiguation

... paper dvi ????????? ?? ??? ???????????????????????????? ?"!?#%$&??')(??*?"?+ ?,????*?"$??"? /??0+?? 1?2?+')? #43?3?0??+???5?2'76 '8?"?9 /???????? ;?+??? (=$??*?"?+'>? ?A@"B?@DCFEHGJILKNMPO?I Q?R[.] ... See full document

7

Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics (ACL 04)

Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics (ACL 04)

... Chinese Verb Sense Discrimination Using an EM Clustering Model with Rich Linguistic Features Jinying Chen and Martha Palmer.. Relieving the data Acquisition Bottleneck in Word Sense Disa[r] ... See full document

20

That’s sick dude!: Automatic identification of word sense change across different timescales

That’s sick dude!: Automatic identification of word sense change across different timescales

... of word senses as well as in the interpretation of the actual mean- ing of ...the word “bank” has several distinct interpretations, including that of a “financial institution” and the “shore of a ...river.” ... See full document

10

Linear transformations of semantic spaces for word sense discrimination and collocation compositionality grading

Linear transformations of semantic spaces for word sense discrimination and collocation compositionality grading

... their sense definitions in machine-readable ...one word on its own against its frequency when it is accompanied by the other ...a word type or a token (Purandare and Pedersen, 2004) and even matrices ... See full document

198

Word Sense Induction: Triplet Based Clustering and Automatic Evaluation

Word Sense Induction: Triplet Based Clustering and Automatic Evaluation

... spurious sense dis- ...remaining word to the agglomerated feature words of each ...similar sense is below 0.8 the given word is not ... See full document

8

First order and second order context representations: geometrical considerations and performance in word sense disambiguation and discrimination

First order and second order context representations: geometrical considerations and performance in word sense disambiguation and discrimination

... word’s sense, S 1 and S 2 , differ- ing simply according to whether they aggregate C 1 or C 2 ...which word-sense discrimination is be- ing ... See full document

11

Automatic Determination of a Domain Adaptation Method for Word Sense Disambiguation Using Decision Tree Learning

Automatic Determination of a Domain Adaptation Method for Word Sense Disambiguation Using Decision Tree Learning

... for word sense disambiguation (WSD) was carried out, the optimal DA method varied according to the properties of the source and target ...target word type of WSD, the source data, and the target ... See full document

9

One Representation per Word   Does it make Sense for Composition?

One Representation per Word Does it make Sense for Composition?

... to word-sense induction (WSI), however we only focus on discriminating the sense of a polysemous lexeme in context rather than inducing a set of senses from raw data and appropriately tagging ... See full document

12

Integrating Knowledge for Subjectivity Sense Labeling

Integrating Knowledge for Subjectivity Sense Labeling

... to automatic subjectivity word sense labeling which combines features exploiting the hierarchical struc- ture and domain information of WordNet, as well as similarity of glosses and overlap among ... See full document

9

Using Synthetic Compounds for Word Sense Discrimination

Using Synthetic Compounds for Word Sense Discrimination

... In German, noun compounds usually involve at least a minimum degree of lexicalization: In En- glish, ‘red flag’ and ‘red beet’ are lexicalized (i.e., denote something more specific than the composi- tional interpretation ... See full document

6

Novel Word sense Identification

Novel Word sense Identification

... the automatic identification of new word-senses has received attention only very ...diachronic sense differences to date, which we believe will encourage further work in this ...novel sense ... See full document

12

Using Wikipedia for Automatic Word Sense Disambiguation

Using Wikipedia for Automatic Word Sense Disambiguation

... nouns, word and sense distributions are sometime skewed, the annotation labels are occasionally inconsistent), these limi- tations are overcome by the clear advantage that comes with the use of Wikipedia: ... See full document

8

Automatic Domain Assignment for Word Sense Alignment

Automatic Domain Assignment for Word Sense Alignment

... of sense de- scriptions of the words ...basic sense descriptions with addi- tional information such as hypernyms, synonyms and domain or category ... See full document

5

Towards Dynamic Word Sense Discrimination with Random Indexing

Towards Dynamic Word Sense Discrimination with Random Indexing

... There is large variation in correlation scores, ranging from 0.77 down to 0.27. Part of this vari- ation is due to the different nature of the data sets. For example, sentence similarity in the SMT do- main seems harder ... See full document

8

Using Multiple Knowledge Sources for Word Sense Discrimination

Using Multiple Knowledge Sources for Word Sense Discrimination

... To discriminate senses, an understander can consider a diversity of information, including syntactic tags, word frequencies, collocations, semantic context, role-related expectations, an[r] ... See full document

30

Using Three Way Data for Word Sense Discrimination

Using Three Way Data for Word Sense Discrimination

... certain sense of a word, and adapt the corresponding feature vec- tor accordingly, ‘subtracting’ one sense to dis- cover another ...fully automatic way to discriminate the various senses of ... See full document

8

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