Name
Abstract | ||
|---|---|---|
Textual entailment (TE) is a unidirectional relationship between two expressions where the meaning of one expression called Hypothesis (H), infers from the other expression called Text (T). The definition of TE is rigid in a sense that if the H entails from T but lacks minor information or have some additional information, then the pair is treated as non-entailed. In such cases, we could not measure the relatedness of a T-H pair. Partial textual entailment (PTE) is a possible solution of this problem which defines partial entailment relation between a T-H pair. PTE relationship can plays an important role in different Natural Language Processing (NLP) applications like text summarization and question-answering system by reducing redundant information. In this paper we investigate the idea of PTE for Indian social media text (SMT). We developed a PTE annotated corpus for Bengali tweets and proposed a Sequential Minimal Optimization (SMO) based PTE recognition approach. We also evaluated our proposed approach through experiment results. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.13053/CyS-23-1-2816 | COMPUTACION Y SISTEMAS |
Keywords | Field | DocType |
Textual entailment, social media text, text summarization, partial textual entailment, question-answering system, machine learning | Automatic summarization,Logical consequence,Social media,Textual entailment,Expression (mathematics),Computer science,Bengali,Natural language processing,Artificial intelligence,Sequential minimal optimization | Journal |
Volume | Issue | ISSN |
23 | 1 | 1405-5546 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dwijen Rudrapal | 1 | 3 | 2.74 |
| Amitava Das | 2 | 198 | 42.49 |
| Bhargab B. Bhattacharya | 3 | 848 | 118.02 |