Search Results for author:
Found 10 papers, 4 papers with code
DAIC-WOZ: On the Validity of Using the Therapist's prompts in Automatic Depression Detection from Clinical Interviews
Finally, to highlight the magnitude of this bias, we achieve a 0. 90 F1 score by intentionally exploiting it, the highest result reported to date on this dataset using only textual information.
Reliability Estimation of News Media Sources: Birds of a Feather Flock Together
Contrary to previous research, our proposed approach models the problem as the estimation of a reliability degree, and not a reliability label, based on how all the news media sources interact with each other on the Web.
Node-weighted Graph Convolutional Network for Depression Detection in Transcribed Clinical Interviews
We propose a simple approach for weighting self-connecting edges in a Graph Convolutional Network (GCN) and show its impact on depression detection from transcribed clinical interviews.
Implementing contextual biasing in GPU decoder for online ASR
GPU decoding significantly accelerates the output of ASR predictions.
Effectiveness of Text, Acoustic, and Lattice-based representations in Spoken Language Understanding tasks
In this paper, we perform an exhaustive evaluation of different representations to address the intent classification problem in a Spoken Language Understanding (SLU) setup.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+5
IDIAPers @ Causal News Corpus 2022: Extracting Cause-Effect-Signal Triplets via Pre-trained Autoregressive Language Model
In this paper, we describe our shared task submissions for Subtask 2 in CASE-2022, Event Causality Identification with Casual News Corpus.
A Comparative Analysis of Distributional Term Representations for Author Profiling in Social Media
Author Profiling (AP) aims at predicting specific characteristics from a group of authors by analyzing their written documents.
TxPI-u: A Resource for Personality Identification of Undergraduates
Resources such as labeled corpora are necessary to train automatic models within the natural language processing (NLP) field.
Semantically-informed distance and similarity measures for paraphrase plagiarism identification
Paraphrase plagiarism identification represents a very complex task given that plagiarized texts are intentionally modified through several rewording techniques.
A visual approach for age and gender identification on Twitter
The goal of Author Profiling (AP) is to identify demographic aspects (e. g., age, gender) from a given set of authors by analyzing their written texts.
