| 1 |
Predicting Contradiction Intensity: Low, Strong or Very Strong?. ; Prédire l'intensité de contradiction dans les commentaires : faible, forte ou très forte ?
|
|
|
|
In: ISSN: 1273-1323 ; Bulletin de l'Association Française pour l'Intelligence Artificielle ; https://hal.archives-ouvertes.fr/hal-01872267 ; Bulletin de l'Association Française pour l'Intelligence Artificielle, AFIA, A paraître (2018)
|
|
BASE
|
|
Show details
|
|
|
| 2 |
Predicting Contradiction Intensity: Low, Strong or Very Strong?
|
|
|
|
In: 41st st International ACM SIGIR Conference on Research and Development in Information Retrieval SIGIR2018 ; https://hal.archives-ouvertes.fr/hal-01796060 ; 41st st International ACM SIGIR Conference on Research and Development in Information Retrieval SIGIR2018, Jul 2018, Ann Arbor, Michigan, United States. ⟨10.1145/3209978.3210098⟩ (2018)
|
|
BASE
|
|
Show details
|
|
|
| 3 |
Harnessing Ratings and Aspect-Sentiment to Estimate Contradiction Intensity in Temporal-Related Reviews
|
|
|
|
In: Procedia Computer Science ; Conference on Knowledge-Based and Intelligent Information and Engineering Systems ; https://hal.archives-ouvertes.fr/hal-02066794 ; Conference on Knowledge-Based and Intelligent Information and Engineering Systems, Sep 2017, Marseille, France. pp.1711-1720, ⟨10.1016/j.procs.2017.08.197⟩ (2017)
|
|
BASE
|
|
Show details
|
|
|
| 4 |
Finding and Quantifying Temporal-Aware Contradiction in Reviews
|
|
|
|
In: Lecture Notes in Computer Science ; 13th Asia Information Retrieval Societies Conference (AIRS 2017) ; https://hal.archives-ouvertes.fr/hal-01904434 ; 13th Asia Information Retrieval Societies Conference (AIRS 2017), Nov 2017, Jeju Island, South Korea. pp.167-180, ⟨10.1007/978-3-319-70145-5_13⟩ (2017)
|
|
BASE
|
|
Show details
|
|
|
|
|
