Түсіндірілетін Семантикалық Мәтіндік Ұқсастық

task ID: interpretablesemantictextualsimilarity

Related Papers

DTSim at SemEval-2016 Task 2: Interpreting Similarity of Texts Based on Automated Chunking, Chunk Alignment and Semantic Relation Prediction

Authors: nan

Publication: TIPSTER (2016)

DOI: nan

In this paper we describe our system (DTSim) submitted at SemEval-2016 Task 2: Inter- pretable Semantic Textual Similarity (iSTS). We participated in both gold chunks cate- gory (texts chunked by …...

22459

IISCNLP at SemEval-2016 Task 2: Interpretable STS with ILP based Multiple Chunk Aligner

Authors: nan

Publication: TIPSTER (2016)

DOI: nan

Interpretable semantic textual similarity (iSTS) task adds a crucial explanatory layer to pairwise sentence similarity. We address various components of this task: chunk level semantic alignment along with assignment of …...

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SemEval-2016 Task 2: Interpretable Semantic Textual Similarity

Authors: nan

Publication: TIPSTER (2016)

DOI: nan

The final goal of Interpretable Semantic Tex- tual Similarity (iSTS) is to build systems that explain which are the differences and com- monalities between two sentences. The task adds an …...

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Vanilla Recurrent Neural Networks for Interpretable Semantic Textual Similarity

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

Semantic similarity systems assess to what ex- tent two words, phrases, sentences are simi- lar in their meaning. In this task, rule-based and neural network systems achieve the best results. …...

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