This paper reports the description and perfor- mance of our system, FBK-HLT, participat- ing in the SemEval 2015, Task #2 “Semantic Textual Similarity”, English subtask. We sub- mitted three runs with different hypothesis in combining typical features (lexical similarity, string similarity, word n-grams, etc) with syn- tactic structure features, resulting in different sets of features. The results evaluated on both STS 2014 and 2015 datasets prove our hypoth- esis of building a STS system taking into con- sideration of syntactic information. We out- perform the best system on STS 2014 datasets and achieve a very competitive result to the best system on STS 2015 datasets
Recently, the task of measuring seman- tic similarity between given texts has drawn much attention f...
We describe the work carried out by the DCU team on the Semantic Textual Similarity task at SemEval-...
[EN]Measuring semantic similarity and relatedness between textual items (words, sentences, paragraph...
We present a case study on the role of syn- tactic structures towards resolving the Se- mantic Textu...
In this paper, we describe the TATO sys-tem which participated in the SemEval-2015 Task 2a: “Semanti...
The well related tasks of evaluating the Se- mantic Textual Similarity and Semantic Relat- edness ha...
This paper reports the description and perfor- mance of our system, FBK-HLT, participating in the Se...
This paper presents an approach for estimat-ing the Semantic Textual Similarity of full English sent...
We present in this paper our system developed for SemEval 2015 Shared Task 2 (2a - English Semantic ...
We present the UKP system which performed best in the Semantic Textual Similarity (STS) task at SemE...
This paper describes the SemantiKLUE sys-tem (Proisl et al., 2014) used for the SemEval-2015 shared ...
Semantic Textual Similarity (STS) measures the meaning similarity of sentences. Applications include...
We present the system developed at FBK for the SemEval 2016 Shared Task 2 ”Interpretable Semantic Te...
Similarity plays a central role in language understanding process. However, it is always difficult t...
Measuring semantic textual similarity (STS) is at the cornerstone of many NLP applications. Differen...
Recently, the task of measuring seman- tic similarity between given texts has drawn much attention f...
We describe the work carried out by the DCU team on the Semantic Textual Similarity task at SemEval-...
[EN]Measuring semantic similarity and relatedness between textual items (words, sentences, paragraph...
We present a case study on the role of syn- tactic structures towards resolving the Se- mantic Textu...
In this paper, we describe the TATO sys-tem which participated in the SemEval-2015 Task 2a: “Semanti...
The well related tasks of evaluating the Se- mantic Textual Similarity and Semantic Relat- edness ha...
This paper reports the description and perfor- mance of our system, FBK-HLT, participating in the Se...
This paper presents an approach for estimat-ing the Semantic Textual Similarity of full English sent...
We present in this paper our system developed for SemEval 2015 Shared Task 2 (2a - English Semantic ...
We present the UKP system which performed best in the Semantic Textual Similarity (STS) task at SemE...
This paper describes the SemantiKLUE sys-tem (Proisl et al., 2014) used for the SemEval-2015 shared ...
Semantic Textual Similarity (STS) measures the meaning similarity of sentences. Applications include...
We present the system developed at FBK for the SemEval 2016 Shared Task 2 ”Interpretable Semantic Te...
Similarity plays a central role in language understanding process. However, it is always difficult t...
Measuring semantic textual similarity (STS) is at the cornerstone of many NLP applications. Differen...
Recently, the task of measuring seman- tic similarity between given texts has drawn much attention f...
We describe the work carried out by the DCU team on the Semantic Textual Similarity task at SemEval-...
[EN]Measuring semantic similarity and relatedness between textual items (words, sentences, paragraph...