<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="rathva-2026-agi">
    <titleInfo>
        <title>“AGI” Team at SemEval-2026 Task 2: Predicting Variation in Emotional Valence and Arousal over Time from Ecological Essays</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Harsh</namePart>
        <namePart type="family">Rathva</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2026-07</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 20th International Workshop on Semantic Evaluation (2026)</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Ekaterina</namePart>
            <namePart type="family">Kochmar</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Debanjan</namePart>
            <namePart type="family">Ghosh</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Kai</namePart>
            <namePart type="family">North</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Mamoru</namePart>
            <namePart type="family">Komachi</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">San Diego, California, USA</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
        <identifier type="isbn">979-8-89176-414-9</identifier>
    </relatedItem>
    <abstract>This paper describes our submission to SemEval-2026 Task 2: Predicting Variation in Emotional Valence and Arousal. We combine RoBERTa-Large text encoding with a unidirectional GRU for temporal modeling and gated user embeddings for personalization. A four-phase staged training curriculum employs ordinal regression for absolute affect prediction and a zero-inflated delta model for change detection. Our approach achieves competitive performance on Subtask 1 (longitudinal affect assessment) with composite correlation r=0.600 for valence and r=0.452 for arousal. However, we observe systematic degradation in Subtask 2A (state change detection) with negative correlations (r=-0.167 for valence, r=-0.147 for arousal), revealing a fundamental trade-off between stability-oriented representations and change sensitivity. We provide detailed empirical analysis of these failure modes, contributing insights into the challenges of modeling emotional dynamics in ecological data.Code and trained checkpoints are publicly available.</abstract>
    <identifier type="citekey">rathva-2026-agi</identifier>
    <location>
        <url>https://aclanthology.org/2026.semeval-1.21/</url>
    </location>
    <part>
        <date>2026-07</date>
        <extent unit="page">
            <start>140</start>
            <end>145</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T “AGI” Team at SemEval-2026 Task 2: Predicting Variation in Emotional Valence and Arousal over Time from Ecological Essays
%A Rathva, Harsh
%Y Kochmar, Ekaterina
%Y Ghosh, Debanjan
%Y North, Kai
%Y Komachi, Mamoru
%S Proceedings of the 20th International Workshop on Semantic Evaluation (2026)
%D 2026
%8 July
%I Association for Computational Linguistics
%C San Diego, California, USA
%@ 979-8-89176-414-9
%F rathva-2026-agi
%X This paper describes our submission to SemEval-2026 Task 2: Predicting Variation in Emotional Valence and Arousal. We combine RoBERTa-Large text encoding with a unidirectional GRU for temporal modeling and gated user embeddings for personalization. A four-phase staged training curriculum employs ordinal regression for absolute affect prediction and a zero-inflated delta model for change detection. Our approach achieves competitive performance on Subtask 1 (longitudinal affect assessment) with composite correlation r=0.600 for valence and r=0.452 for arousal. However, we observe systematic degradation in Subtask 2A (state change detection) with negative correlations (r=-0.167 for valence, r=-0.147 for arousal), revealing a fundamental trade-off between stability-oriented representations and change sensitivity. We provide detailed empirical analysis of these failure modes, contributing insights into the challenges of modeling emotional dynamics in ecological data.Code and trained checkpoints are publicly available.
%U https://aclanthology.org/2026.semeval-1.21/
%P 140-145

Markdown (Informal)

["AGI” Team at SemEval-2026 Task 2: Predicting Variation in Emotional Valence and Arousal over Time from Ecological Essays](https://aclanthology.org/2026.semeval-1.21/) (Rathva, SemEval 2026)

• “AGI” Team at SemEval-2026 Task 2: Predicting Variation in Emotional Valence and Arousal over Time from Ecological Essays (Rathva, SemEval 2026)

ACL

• Harsh Rathva. 2026. "AGI” Team at SemEval-2026 Task 2: Predicting Variation in Emotional Valence and Arousal over Time from Ecological Essays. In Proceedings of the 20th International Workshop on Semantic Evaluation (2026), pages 140–145, San Diego, California, USA. Association for Computational Linguistics.