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Found 16 papers, 0 papers with code
A Multi-task Approach to Learning Multilingual Representations
We present a novel multi-task modeling approach to learning multilingual distributed representations of text.
Cross-Lingual Document Classification
Document Classification
+5
Linguistic analysis of differences in portrayal of movie characters
We examine differences in portrayal of characters in movies using psycholinguistic and graph theoretic measures computed directly from screenplays.
Automatic Community Creation for Abstractive Spoken Conversations Summarization
Summarization of spoken conversations is a challenging task, since it requires deep understanding of dialogs.
SHIHbot: A Facebook chatbot for Sexual Health Information on HIV/AIDS
We present the implementation of an autonomous chatbot, SHIHbot, deployed on Facebook, which answers a wide variety of sexual health questions on HIV/AIDS.
A system for the 2019 Sentiment, Emotion and Cognitive State Task of DARPAs LORELEI project
In this work, we describe our submission for the 2019 Sentiment, Emotion and Cognitive state (SEC) pilot task of the LORELEI project.
Towards end-2-end learning for predicting behavior codes from spoken utterances in psychotherapy conversations
Spoken language understanding tasks usually rely on pipelines involving complex processing blocks such as voice activity detection, speaker diarization and Automatic speech recognition (ASR).
Victim or Perpetrator? Analysis of Violent Characters Portrayals from Movie Scripts
To date, we are the first to show that language used in movie scripts is a strong indicator of violent content, and that there are systematic portrayals of certain demographics as victims and perpetrators in a large dataset.
Automated Evaluation Of Psychotherapy Skills Using Speech And Language Technologies
With the growing prevalence of psychological interventions, it is vital to have measures which rate the effectiveness of psychological care to assist in training, supervision, and quality assurance of services.
An Automated Quality Evaluation Framework of Psychotherapy Conversations with Local Quality Estimates
In particular, we model the global quality as a linear function of the local quality scores, which allows us to update the segment-level quality estimates based on the session-level quality prediction.
Seq-2-Seq based Refinement of ASR Output for Spoken Name Capture
Person name capture from human speech is a difficult task in human-machine conversations.
Cross-stitched Multi-modal Encoders
In this paper, we propose a novel architecture for multi-modal speech and text input.
E2E Spoken Entity Extraction for Virtual Agents
In human-computer conversations, extracting entities such as names, street addresses and email addresses from speech is a challenging task.
1SPU: 1-step Speech Processing Unit
Recent studies have made some progress in refining end-to-end (E2E) speech recognition encoders by applying Connectionist Temporal Classification (CTC) loss to enhance named entity recognition within transcriptions.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
