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Visual Sentiment Analysis of Text Document Streams · 27
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In: http://bib.dbvis.de/uploadedFiles/authors_version.pdf (2010)
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42 |
Do grammars minimize dependency length
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In: http://theory.esm.rochester.edu/temperley/papers/gildea-temperley-cs10.pdf (2010)
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43 |
G.: Textractor: A Framework for Extracting Relevant Domain Concepts from Irregular Corporate Textual Datasets
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In: http://odur.let.rug.nl/gosse/papers/textractor.pdf (2010)
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44 |
A Hybrid Approach to Unsupervised Relation Discovery Based on Linguistic Analysis and Semantic Typing ...
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46 |
Annotating named entities in Twitter data with crowdsourcing ...
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47 |
Statistical Techniques for Language Recognition: An Introduction and Guide for Cryptanalysts ...
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48 |
Unsupervised techniques for discovering ontology elements from Wikipedia article links ...
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49 |
Design and development of a lattice structure dependency parser for under-resourced languages ...
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52 |
Automated Discovery and Analysis of Social Networks from Threaded Discussions
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53 |
Email Thread Summarization with Conditional Random Fields
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In: http://rave.ohiolink.edu/etdc/view?acc_num=osu1268159269 (2010)
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54 |
Efficient development of grammars for multilingual rule-based applications ...
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55 |
Visual Salience and Reference Resolution in Situated Dialogues: A Corpus-based Evaluation.
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In: Conference papers (2010)
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56 |
Searching Semantic Resources for Complex Selectional Restrictions to Support Verb Sense Disambiguation
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In: DTIC (2010)
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57 |
Measuring the Non-compositionality of Multiword Expressions
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58 |
Function-based question classification for general QA
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Abstract:
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing ; In contrast with the booming increase of internet data, state-of-art QA (question answering) systems, otherwise, concerned data from specific domains or resources such as search engine snippets, online forums and Wikipedia in a somewhat isolated way. Users may welcome a more general QA system for its capability to answer questions of various sources, integrated from existed specialized sub-QA engines. In this framework, question classification is the primary task. However, the current paradigms of question classification were focused on some specified type of questions, i.e. factoid questions, which are inappropriate for the general QA. In this paper, we propose a new question classification paradigm, which includes a question taxonomy suitable to the general QA and a question classifier based on MLN (Markov logic network), where rule-based methods and statistical methods are unified into a single framework in a fuzzy discriminative learning approach. Experiments show that our method outperforms traditional
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Keyword:
DATA; KNOWLEDGE REPRESENTATION; MACHINE LEARNING; NATURAL LANGUAGE PROCESSING; QUESTION ANSWER SYSTEMS
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URL: http://hdl.handle.net/10625/49050
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59 |
Figure 1. Linguistic Analysis - Adx – Agent For Morphologic Analysis Of Lexical Entries In A Dictionary ...
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Figure 2. The Structures Of The Two Tables From The Dex Online Database-Adx – Agent For Morphologic Analysis Of Lexical Entries In A Dictionary ...
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