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[PDF] Top 20 Lexical Chains for Question Answering

Has 10000 "Lexical Chains for Question Answering" found on our website. Below are the top 20 most common "Lexical Chains for Question Answering".

Lexical Chains for Question Answering

Lexical Chains for Question Answering

... ?????????? ? ???? ???????????????????? ?!?"???$#%??? &????'?"??( )+* ,/ 103254?0768* , 9<;8=?>+4A@CBD* ,FEG0 6?BIHKJMLAB NPORQTS!U8VXWZY\[7] ^`W ; ]ZWba?WZS 9 Y?VcQTW ; V d ^`]fe 9 Y =!g O ;ih!jlknmRo[.] ... See full document

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Question Answering with Lexical Chains Propagating Verb Arguments

Question Answering with Lexical Chains Propagating Verb Arguments

... the question he is the subject/agent of the similar ...the question and the can- didate answers into logic forms and used a logic prover to determine if the candidate answer logic form (ALF) entails the ... See full document

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Retrieving Relevant Answer from Large Questions- Answer Dataset by Using Semantic Analysis and Natural Language Processing

Retrieving Relevant Answer from Large Questions- Answer Dataset by Using Semantic Analysis and Natural Language Processing

... the lexical gap problem in question retrieval. Question retrieval in Community question answering(cQA) archives aims to find the existing questions that are semantically equivalent or ... See full document

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Learning to Paraphrase for Question Answering

Learning to Paraphrase for Question Answering

... the question and then submit the rewritten version to a QA ...produce question paraphrases, such as rule-based machine translation (Duboue and Chu- Carroll, 2006), lexical and phrasal rules from the ... See full document

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Properties of Lexical Relations [Appendix II of “A Lexicon for a Computer Question Answering System,” AJCL Microfiche 83]

Properties of Lexical Relations [Appendix II of “A Lexicon for a Computer Question Answering System,” AJCL Microfiche 83]

... is a ki,na or mammal anu a mamm i.s a kind of vertebrate then we can.. follcaws that bTd.[r] ... See full document

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APPROCHES FOR QUESTION ANSWERING SYSTEMS

APPROCHES FOR QUESTION ANSWERING SYSTEMS

... The rule based QA system is an extension for IR based QA system. Rule Based QA doesn’t use deep language understanding or specific sophisticated approaches. A broad coverage of NLP techniques are used in order to achieve ... See full document

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Arabic Question Answering: A Study on Challenges, Systems, and Techniques

Arabic Question Answering: A Study on Challenges, Systems, and Techniques

... Arabic is a highly derivational language that its lexicon is built from 10,000 roots, each root is made of 3 to 4 letters. And to each root affixes (prefix, infix, or suffix) can be added to form lemmas. Affixes are ... See full document

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Adaptations of ROUGE and BLEU to Better Evaluate Machine Reading Comprehension Task

Adaptations of ROUGE and BLEU to Better Evaluate Machine Reading Comprehension Task

... each question is more close to real ...of lexical overlap based evaluation metrics, these models focus more on text matching to references, which has bias to hu- man ...on question answering, ... See full document

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QUALIFIER: Question Answering by Lexical Fabric and External Resources

QUALIFIER: Question Answering by Lexical Fabric and External Resources

... working on question answering also employ a variety of linguistic resources, such as the part- of-speech tagging, syntactic parsing, semantic relations, named entity extraction, dictiona[r] ... See full document

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Question Answering Using Enhanced Lexical Semantic Models

Question Answering Using Enhanced Lexical Semantic Models

... the question se- ...the question? Without representing the question and sentence in logic or syntactic trees, we take a word-alignment view for solving this ...the question can be mapped to ... See full document

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Evaluating Question Answering Evaluation

Evaluating Question Answering Evaluation

... and question (Figure ...and question when calculating the answer word ...context, question, and answer delineated by BERT separator tokens as the input to ... See full document

6

Question Answering with Subgraph Embeddings

Question Answering with Subgraph Embeddings

... where m is the margin (fixed to 0.1). Minimizing Eq. (2) learns the embedding matrix W so that the score of a question paired with a correct an- swer is greater than with any incorrect answer ¯ a by at least m. ¯ ... See full document

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Image Question Answering: A Review

Image Question Answering: A Review

... on answering binary questions beginning with ‘Is’ and ‘Are’ by 15%, increase the general accuracy of the system by ...and question-answer pairs available in future ... See full document

5

Knowledge Based Question Answering

Knowledge Based Question Answering

... DEF-WORD A/C SENSE AIRCRAFT SENSE AIR-CONDITIONER DEF-WOED EAT SENSE [EAT ACTOR NIL OBJECT NIL TO *INSIDEI PLACE ~STOMACN~ PART NIL] EXPECTATIONS [ IF IN-ACT-SPOT #ANI}~TE THEN SLOTS TO [r] ... See full document

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Experiments with Interactive Question Answering

Experiments with Interactive Question Answering

... interactive question-answering based on predictive ...single question, the performance of interactive Q/A systems have tradi- tionally been evaluated by analyzing aspects of ... See full document

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Revisiting Question Answering in Vampire

Revisiting Question Answering in Vampire

... Working with AVATAR. AVATAR [6, 11] is a very useful component of V AMPIRE but it is not im- mediately compatible with question answering. This is because if we ever split the answer literal it becomes ... See full document

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Lexical Chains as Document Features

Lexical Chains as Document Features

... Lexical chains appear to be capable of doing this to a certain ...the lexical chains, we are im- plicitly trying to decode the semantics of the doc- ...uments. Lexical chains ... See full document

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Exploring and Expanding the Use of Lexical Chains in Information Retrieval

Exploring and Expanding the Use of Lexical Chains in Information Retrieval

... our lexical chains in a two-phase subroutine called Lexical Synset Chain Extraction ...flexible lexical chains, considering an adaptive structure of synsets based on multilevel ... See full document

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Question Difficulty Estimation in Community Question Answering Services

Question Difficulty Estimation in Community Question Answering Services

... Sec. 1, this is the most relevant method for our prob- lem. Table 2 gives the accuracy of the baseline and our Competition-based approach on SO/CPP and SO/Math. From the results, we can see that (1) the proposed ... See full document

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Improving the Robustness of Question Answering Systems to Question Paraphrasing

Improving the Robustness of Question Answering Systems to Question Paraphrasing

... With the release of large-scale, high-quality, and increasingly challenging question answering (QA) datasets (Rajpurkar et al., 2016; Nguyen et al., 2016; Joshi et al., 2017; Reddy et al., 2018), the ... See full document

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