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Publication: TIPSTER (1999)

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This paper describes a statistical methodology ibr automatically retrieving collocations from POS tagged Korean text using interrupted bi- grams. The free order of Korean makes it hard to identify collocations. …...

43464

Empirically-based Control of Natural Language Generation

Authors: nan

Publication: TIPSTER (2005)

DOI: nan

In this paper we present a new approach to controlling the behaviour of a natural lan- guage generation system by correlating in- ternal decisions taken during free generation of a …...

36040

Automatically Evaluating Content Selection in Summarization without Human Models

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Publication: TIPSTER (2009)

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We present a fully automatic method for content selection evaluation in summariza- tion that does not require the creation of human model summaries. Our work capi- talizes on the assumption …...

44512

Twitter Catches The Flu: Detecting Influenza Epidemics using Twitter

Authors: nan

Publication: TIPSTER (2011)

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With the recent rise in popularity and scale of social media, a growing need exists for systems that can extract useful information from huge amounts of data. We address the …...

44044

ANALEC: a New Tool for the Dynamic Annotation of Textual Data

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AbstractWe introduce ANALEC, a tool which aim is to bring together corpus annotation, visualization and query management. Our main idea is to provide a unified and dynamic way of annotating …...

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DLS@CU-CORE: A Simple Machine Learning Model of Semantic Textual Similarity

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We present a system submitted in the Semantic Textual Similarity (STS) task at the Second Joint Conference on Lexical and Computa- tional Semantics (*SEM 2013). Given two short text fragments, …...

26212

Fatal or not? Finding errors that lead to dialogue breakdowns in chat-oriented dialogue systems

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This paper aims to find errors that lead to dialogue breakdowns in chat-oriented dia- logue systems. We collected chat dialogue data, annotated them with dialogue break- down labels, and collected …...

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Achieving Accurate Conclusions in Evaluation of Automatic Machine Translation Metrics

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Automatic Machine Translation metrics, such as BLEU, are widely used in empirical eval- uation as a substitute for human assessment. Subsequently, the performance of a given met- ric is measured …...

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Amrita_CEN at SemEval-2016 Task 1: Semantic Relation from Word Embeddings in Higher Dimension

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Semantic Textual Similarity measures similar- ity between pair of texts, even though the sim- ilar context is projected using different words. This work attempted to incorporate the con- text space …...

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Comparing Speech and Text Classification on ICNALE

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We introduce a bootstrapping algorithm for re- gression that exploits word embedding mod- els. We use it to infer four psycholinguis- tic properties of words: Familiarity, Age of Acquisition, Concreteness …...

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CompiLIG at SemEval-2017 Task 1: Cross-Language Plagiarism Detection Methods for Semantic Textual Similarity

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AbstractWe present our submitted systems for Semantic Textual Similarity (STS) Track 4 at SemEval-2017. Given a pair of Spanish-English sentences, each system must estimate their semantic similarity by a score …...

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FCICU at SemEval-2017 Task 1: Sense-Based Language Independent Semantic Textual Similarity Approach

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AbstractThis paper describes FCICU team systems that participated in SemEval-2017 Semantic Textual Similarity task (Task1) for monolingual and cross-lingual sentence pairs. A sense-based language independent textual similarity approach is presented, …...

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Finding Patterns in Noisy Crowds: Regression-based Annotation Aggregation for Crowdsourced Data

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SemEval-2022 Task 8: Multilingual news article similarity

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AbstractThousands of new news articles appear daily in outlets in different languages. Understanding which articles refer to the same story can not only improve applications like news aggregation but enable …...

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