Sorokin, Daniil ; Gurevych, Iryna (2017):
End-to-end Representation Learning for Question Answering with Weak Supervision.
In: Communications in Computer and Information Science, 769, In: Semantic Web Challenges: 4th SemWebEval Challenge at ESWC 2017, pp. 70-83,
Springer, Cham, Portoroz, Slovenia, [Conference or Workshop Item]
Abstract
In this paper we present a factoid question answering system for participation in Task 4 of the QALD-7 shared task. Our system is an end-to-end neural architecture for learning a semantic representation of the input question. It iteratively generates representations and uses a convolutional neural network (CNN) model to score them at each step. We take the semantic representation with the highest final score and execute it against Wikidata to retrieve the answers. We show on the Task 4 data set that our system is able to successfully generalize to new data.
Item Type: | Conference or Workshop Item |
---|---|
Erschienen: | 2017 |
Creators: | Sorokin, Daniil ; Gurevych, Iryna |
Title: | End-to-end Representation Learning for Question Answering with Weak Supervision |
Language: | English |
Abstract: | In this paper we present a factoid question answering system for participation in Task 4 of the QALD-7 shared task. Our system is an end-to-end neural architecture for learning a semantic representation of the input question. It iteratively generates representations and uses a convolutional neural network (CNN) model to score them at each step. We take the semantic representation with the highest final score and execute it against Wikidata to retrieve the answers. We show on the Task 4 data set that our system is able to successfully generalize to new data. |
Book Title: | Semantic Web Challenges: 4th SemWebEval Challenge at ESWC 2017 |
Series: | Communications in Computer and Information Science |
Series Volume: | 769 |
Publisher: | Springer, Cham |
Uncontrolled Keywords: | UKP_reviewed;UKP_p_QAEduInf;reviewed;UKP_a_DLinNLP;UKP_a_LSRA |
Divisions: | 20 Department of Computer Science 20 Department of Computer Science > Ubiquitous Knowledge Processing DFG-Graduiertenkollegs DFG-Graduiertenkollegs > Research Training Group 1994 Adaptive Preparation of Information from Heterogeneous Sources |
Event Location: | Portoroz, Slovenia |
Date Deposited: | 23 May 2017 16:26 |
URL / URN: | https://link.springer.com/chapter/10.1007%2F978-3-319-69146-... |
Identification Number: | TUD-CS-2017-0113 |
PPN: | |
Corresponding Links: | |
Export: | |
Suche nach Titel in: | TUfind oder in Google |
![]() |
Send an inquiry |
Options (only for editors)
![]() |
Show editorial Details |