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Reinforcement Learning for Abstractive Question Summarization with Question-aware Semantic Rewards ...
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Towards BERT-based Automatic ICD Coding: Limitations and Opportunities
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In: Proceedings of the 20th Workshop on Biomedical Language Processing (2021)
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Flight of the PEGASUS? Comparing Transformers on Few-Shot and Zero-Shot Multi-document Abstractive Summarization
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In: Proc Int Conf Comput Ling (2020)
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Towards Zero-Shot Conditional Summarization with Adaptive Multi-Task Fine-Tuning
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In: Proc Conf Empir Methods Nat Lang Process (2020)
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Question-driven summarization of answers to consumer health questions
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In: Sci Data (2020)
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A neural autoencoder approach for document ranking and query refinement in pharmacogenomic information retrieval
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Named Entity Recognition in Functional Neuroimaging Literature
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Aligning texts and knowledge bases with semantic sentence simplification
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Bio-SCoRes: A Smorgasbord Architecture for Coreference Resolution in Biomedical Text
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Automatic Extraction and Post-coordination of Spatial Relations in Consumer Language
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An Ensemble Method for Spelling Correction in Consumer Health Questions
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Automatic Summarization of MEDLINE Citations for Evidence–Based Medical Treatment: A Topic-Oriented Evaluation
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Word Sense Disambiguation by Selecting the Best Semantic Type Based on Journal Descriptor Indexing: Preliminary Experiment
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The Effect of Bilingual Term List Size on Dictionary-Based Cross-Language Information Retrieval
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In: DTIC (2006)
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Abstract:
Bilingual term lists are extensively used as a resource for dictionary-based Cross-Language Information Retrieval (CLIR), in which the goal is to find documents written in one natural language based on queries that are expressed in another. This paper identifies eight types of terms that affect retrieval effectiveness in CLIR applications through their coverage by general-purpose bilingual term lists, and reports results from an experimental evaluation of the coverage of 35 bilingual term lists in news retrieval application. Retrieval effectiveness was found to be strongly influenced by term list size for lists that contain between 3,000 and 30,000 unique terms per language. Supplemental techniques for named entity translation were found to be useful with even the largest lexicons. The contribution of named entity translation was evaluated in a cross-language experiment involving English and Chinese. Smaller effects were observed from deficiencies in the coverage of domain specific terminology when searching news stories. ; The original document contains color images.
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Keyword:
*CROSS CORRELATION; BILINGUAL TERMS; DICTIONARIES; INFORMATION RETRIEVAL; Linguistics; NATURAL LANGUAGE; Operations Research; QUEUEING THEORY; TEST AND EVALUATION
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URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA447948 http://www.dtic.mil/docs/citations/ADA447948
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