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Supervised approaches to Word Sense Dis- ambiguation (WSD) have been shown to outperform other approaches but are ham- pered by reliance on labeled training ex- amples (the data acquisition bottleneck). …...

AbstractIn this paper, we present work on enhancing the basic data resource of a context-aware system. Electronic text offers a wealth of information about geospatial data and can be used …...

Research in named entity recognition and mention detection has typically involved a fairly small number of semantic classes, which may not be adequate if seman- tic class information is intended …...

Taxonomies can serve as browsing tools for document collections. However, given an ar- bitrary collection, pre-constructed taxonomies could not easily adapt to the specific topic/task present in the collection. This …...

Computational approaches to metonymy res- olution have focused almost exclusively on the local context, especially the constraints placed on a potentially metonymic word by its grammatical collocates. We expand such …...

This paper describes an expression-level senti- ment detection system that participated in the subtask A of SemEval-2013 Task 2: Senti- ment Analysis in Twitter. Our system uses a supervised approach …...

This paper describes the participation of the SINAI research group in the 2013 edi- tion of the International Workshop Se- mEval. The SINAI research group has submitted two systems, which …...

In this paper we describe the system sub- mitted for the SemEval 2014 Task 9 (Sen- timent Analysis in Twitter) Subtask B. Our contribution consists of a supervised ap- proach …...

Shared Task 1 of SemEval-2014 com- prised two subtasks on the same dataset of sentence pairs: recognizing textual en- tailment and determining textual similar- ity. We used an existing system …...

This paper describes the UNIBA team partic- ipation in the Sentiment Analysis in Twitter task (Task 10) at SemEval-2015. We propose a supervised approach relying on keyword, lex- icon and …...

AbstractIn this paper we report a comparison of various techniques for single-document extractive summarization under strict length budgets, which is a common commercial use case (e.g. summarization of news articles …...

SemEval 2016 Task 12 addresses temporal reasoning in the clinical domain. In this paper, we present our participation for relation ex- traction based on gold standard entities (sub- tasks DR …...

Sentiment analysis has become a well- established task in Natural Language Pro- cessing. As such, a high variety of methods have been proposed to tackle it, for different types of …...

This paper presents a generic approach to con- tent selection for creating timelines from in- dividual history articles for which no exter- nal information about the same topic is avail- …...

AbstractThis paper reports the STS-UHH participation in the SemEval 2017 shared Task 1 of Semantic Textual Similarity (STS). Overall, we submitted 3 runs covering monolingual and cross-lingual STS tracks. Our …...

AbstractRecent work on training neural retrievers for open-domain question answering (OpenQA) has employed both supervised and unsupervised approaches. However, it remains unclear how unsupervised and supervised methods can be used …...

AbstractIn SemEval-2023 Task 1, a task of applying Word Sense Disambiguation in an image retrieval system was introduced. To resolve this task, this work proposes three approaches: (1) an unsupervised …...