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Citations
Improved Word Representation Learning with Sememes
Yilin Niu,Ruobing Xie,Zhiyuan Liu,Maosong Sun +3 more
- 01 Jul 2017
TL;DR: This paper follows the framework of Skip-gram and presents three sememe-encoded models to learn representations of sememes, senses and words, where the attention scheme is applied to detect word senses in various contexts.
160
Lexical Sememe Prediction via Word Embeddings and Matrix Factorization
Ruobing Xie,Xingchi Yuan,Zhiyuan Liu,Maosong Sun +3 more
- 01 Aug 2017
TL;DR: This paper for the first time explores to automatically predict lexical sememes based on semantic meanings of words encoded by word embeddings, and applies matrix factorization to learn semantic relations between sememe and words.
A hierarchical method to automatically encode Chinese diagnoses through semantic similarity estimation
TL;DR: The hierarchical nature of ICD-10 codes can enhance the performance of the automated code assignment process in Chinese hospitals and semantic similarity estimation is demonstrated indispensable in dealing with Chinese medical text.
BiFrameNet: bilingual frame semantics resource construction by cross-lingual induction
Pascale Fung,Benfeng Chen +1 more
- 23 Aug 2004
TL;DR: This work proposes to induce the mapping between the English lexical entries in FrameNet to Chinese word senses in HowNet, furnishing a bilingual semantic lexicon which simulates the "concept lexicon" supposedly used by human translators, and which can thus be beneficial to machine translation systems.
News Filtering and Summarization on the Web
TL;DR: The news filtering and summarization system can automatically recognize Web news pages, retrieve each news page's title and news content, and extract key phrases, and this extraction method substantially outperforms methods based on term frequency and lexical chains.
39
References
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Ido Dagan,Shaul Marcus,Shaul Markovitch +2 more
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A Proposal for Word Sense Disambiguation using Conceptual Distance
Eneko Agirre,German Rigau +1 more
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TL;DR: In this article, a method for the resolution of lexical ambiguity and its automatic evaluation over the Brown Corpus is presented, which relies on the use of WordNet and the notion of conceptual distance among concepts, captured by a Conceptual Density formula developed for this purpose.
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Automatic word similarity detection for TREC 4 query expansion
Susan Gauch,Meng Kam Chong +1 more
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TL;DR: This article used corpus linguistics techniques to automatically discover word similarities directly from the contents of the untagged TREC database and incorporated that information in the PRISE information retrieval system, resulting in conceptual retrieval rather than requiring exact word matches between queries and documents.
Similarity-Based Models of Word Cooccurrence Probabilities
TL;DR: The authors proposed a method for estimating the probability of unseen word combinations using available information on "most similar" words and applied it to language modeling and pseudo-word disambiguation tasks.
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A WordNet-based algorithm for word sense disambiguation
Xiaobin Li,Stan Szpakowicz,Stan Matwin +2 more
- 20 Aug 1995
TL;DR: An algorithm is presented for automatic word sense disambiguation based on lexical knowledge contained in WordNet and on the results of surface-syntactic analysis that results indicate that even on a relatively small text the proposed method produces correct noun meaning more than 72% of the time.