LAW IV '10 Proceedings of the Fourth Linguistic Annotation Workshop
SRL-based verb selection for ESL
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Semantic role labeling for news tweets
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Collective semantic role labeling on open news corpus by leveraging redundancy
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Towards semi-supervised brazilian portuguese semantic role labeling: building a benchmark
PROPOR'12 Proceedings of the 10th international conference on Computational Processing of the Portuguese Language
| Hi-index | 0.00 |
Semantic Role Labeling (SRL) consists of, given a sentence, detecting basic event structures such as "who" did "what" to "whom", "when" and "where". From a linguistic point of view, a key component of the task corresponds to identifying the semantic arguments filling the roles of the sentence predicates. Typical predicate semantic arguments include Agent, Patient, and Instrument, but semantic roles may also be found as adjuncts (e.g., Locative, Temporal, Manner, and Cause). The identification of such event frames holds potential for significant impact in many NLP applications, such as Information Extraction, Question Answering, Summarization and Machine Translation.