WeaklySupervisedApproach
Related Papers
CFILT: Resource Conscious Approaches for All-Words Domain Specific WSD
We describe two approaches for All-words Word Sense Disambiguation on a Spe- cific Domain. The first approach is a knowledge based approach which extracts domain-specific largest connected com- ponents from …...
Weakly Supervised Morphology Learning for Agglutinating Languages Using Small Training Sets.
The paper describes a weakly supervised approach for decomposing words into all morphemes: stems, prefixes and suffixes, using wordforms with marked stems as training data. As we concentrate on under-resourced …...
Learning Emotion Indicators from Tweets: Hashtags, Hashtag Patterns, and Phrases
We present a weakly supervised approach for learning hashtags, hashtag patterns, and phrases associated with five emotions: AFFEC- TION, ANGER/RAGE, FEAR/ANXIETY, JOY, and SADNESS/DISAPPOINTMENT. Starting with seed hashtags to label …...
Weakly Supervised Subevent Knowledge Acquisition
AbstractSubevents elaborate an event and widely exist in event descriptions. Subevent knowledge is useful for discourse analysis and event-centric applications. Acknowledging the scarcity of subevent knowledge, we propose a weakly …...
Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic Embedding
AbstractAspect-based sentiment analysis of review texts is of great value for understanding user feedback in a fine-grained manner. It has in general two sub-tasks: (i) extracting aspects from each review, …...
Learning Action Conditions from Instructional Manuals for Instruction Understanding
AbstractThe ability to infer pre- and postconditions of an action is vital for comprehending complex instructions, and is essential for applications such as autonomous instruction-guided agents and assistive AI that …...