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Found 11 papers, 0 papers with code
Understanding Social Support Expressed in a COVID-19 Online Forum
We find that (i) there is a positive correlation between the informational support given in posts and the emotional support given and emotional support sought, respectively, in these posts and (ii) over time, users tended to seek more emotional support and give less emotional support.
Resolving Pronouns in Twitter Streams: Context can Help!
Many people live-tweet televised events like Presidential debates and popular TV-shows and discuss people or characters in the event.
Did that happen? Predicting Social Media Posts that are Indicative of what happened in a scene: A case study of a TV show
While popular Television (TV) shows are airing, some users interested in these shows publish social media posts about the show.
Does Social Support (Expressed in Post Titles) Elicit Comments in Online Substance Use Recovery Forums?
Individuals recovering from substance use often seek social support (emotional and informational) on online recovery forums, where they can both write and comment on posts, expressing their struggles and successes.
A Survey of Machine Translation Tasks on Nigerian Languages
Machine translation is an active area of research that has received a significant amount of attention over the past decade.
Creating Multimedia Summaries Using Tweets and Videos
While popular televised events such as presidential debates or TV shows are airing, people provide commentary on them in real-time.
Does Social Support Expressed in Post Titles Elicit Comments in Online Substance Use Recovery Forums?
Individuals recovering from substance use often seek social support (emotional and informational) on online recovery forums, where they can both write and comment on posts, expressing their struggles and successes.
Winter is here: Summarizing Twitter Streams related to Pre-Scheduled Events
Pre-scheduled events, such as TV shows and sports games, usually garner considerable attention from the public.
Constructing an Alias List for Named Entities during an Event
EntitySpike uses a temporal heuristic to identify named entities with similar context that occur in the same time period (within minutes) during an event.
Name Variation in Community Question Answering Systems
In this paper, we propose an algorithm to reduce the number of unanswered questions in Yahoo!
An Entity-Based approach to Answering Recurrent and Non-Recurrent Questions with Past Answers
For unanswered questions that do not have a past resolved question with a shared need, we propose to use the best answer to a past resolved question with similar needs.
