Recently, the task of measuring seman- tic similarity between given texts has drawn much attention from the Natural Language Processing community. Espe- cially, the task becomes more interesting when it comes to measuring the seman- tic similarity between different-sized texts, e.g paragraph-sentence, sentence-phrase, phrase-word, etc. In this paper, we, the FBK-TR team, describe our system par- ticipating in Task 3 "Cross-Level Seman- tic Similarity", at SemEval 2014. We also report the results obtained by our system, compared to the baseline and other partic- ipating systems in this task
This paper describes SVCSTS, a system that was submitted in SemEval-2015 Task 2: Se-mantic Textual S...
We present a comprehensive study of computing similarity between texts. We start from the observatio...
Being able to quantify the semantic similar-ity between two texts is important for many practical ap...
This paper introduces a new SemEval task on Cross-Level Semantic Similarity (CLSS), which measures t...
This paper presents the system SSMT measuring the semantic similarity between a paragraph and a sent...
Semantic similarity has typically been measured across items of approximately similar sizes. As a re...
This paper introduces a new SemEval task on Cross-Level Semantic Similarity (CLSS), which measures t...
∗These two authors contributed equally to this work. This paper describes the system submitted by th...
We present in this paper our system developed for SemEval 2015 Shared Task 2 (2a - English Semantic ...
Abstract Semantic similarity has typically been measured across items of approx-imately similar size...
In this paper we describe the specifications and results of UMCC_DLSI system, which was involved in ...
This paper describes the yiGou system we de-veloped to compute the semantic similarity of two Englis...
This paper reports the description and perfor- mance of our system, FBK-HLT, participat- ing in the ...
In many natural language understanding applications, text processing requires comparing lexical unit...
We present the UKP system which performed best in the Semantic Textual Similarity (STS) task at SemE...
This paper describes SVCSTS, a system that was submitted in SemEval-2015 Task 2: Se-mantic Textual S...
We present a comprehensive study of computing similarity between texts. We start from the observatio...
Being able to quantify the semantic similar-ity between two texts is important for many practical ap...
This paper introduces a new SemEval task on Cross-Level Semantic Similarity (CLSS), which measures t...
This paper presents the system SSMT measuring the semantic similarity between a paragraph and a sent...
Semantic similarity has typically been measured across items of approximately similar sizes. As a re...
This paper introduces a new SemEval task on Cross-Level Semantic Similarity (CLSS), which measures t...
∗These two authors contributed equally to this work. This paper describes the system submitted by th...
We present in this paper our system developed for SemEval 2015 Shared Task 2 (2a - English Semantic ...
Abstract Semantic similarity has typically been measured across items of approx-imately similar size...
In this paper we describe the specifications and results of UMCC_DLSI system, which was involved in ...
This paper describes the yiGou system we de-veloped to compute the semantic similarity of two Englis...
This paper reports the description and perfor- mance of our system, FBK-HLT, participat- ing in the ...
In many natural language understanding applications, text processing requires comparing lexical unit...
We present the UKP system which performed best in the Semantic Textual Similarity (STS) task at SemE...
This paper describes SVCSTS, a system that was submitted in SemEval-2015 Task 2: Se-mantic Textual S...
We present a comprehensive study of computing similarity between texts. We start from the observatio...
Being able to quantify the semantic similar-ity between two texts is important for many practical ap...