Full Papers -- Automatic Summarization of Financial Earnings Calls Transcript -- Parameter-Efficient Sparse Retrievers and Rerankers using Adapters -- Feature Differentiation and Fusion for Semantic Text Matching -- Multivariate Powered Dirichlet-Hawkes Process -- Fragmented Visual Attention in Web Browsing: Weibull Analysis of Item Visit Times -- Topic-Enhanced Personalized Retrieval-based Chatbot -- Improving the Generalizability of the Dense Passage Retriever Using Generated Datasets -- SegmentCodeList: Unsupervised Representation Learning for Human Skeleton Data Retrieval -- Knowing What and How: A Multi-modal Aspect-Based Framework for Complaint Detection -- What is your cause for concern? Towards Interpretable Complaint Cause Analysis -- DeCoDE: DEtection of COgnitive Distortion and Emotion cause extraction in clinical conversations -- Domain-aligned Data Augmentation for Low-resource and Imbalanced Text Classification -- Privacy-Preserving Fair Item Ranking -- Multimodal Geolocation Estimation of News Photos -- Topics in Contextualised Attention Embeddings -- New Metrics to Encourage Innovation and Diversity in Information Retrieval Approaches -- Probing BERT for Ranking Abilities -- Clustering of Bandit with Frequency-Dependent Information Sharing -- Contrastive Graph Learning with Positional Representation for Recommendation -- Domain Adaptation for Anomaly Detection on Heterogeneous Graphs in E-Commerce -- Short Papers Improving Neural Topic Models with Wasserstein Knowledge Distillation -- Towards Effective Paraphrasing for Information Disguise -- Generating Topic Pages for Scientific Concepts Using Scientific Publications -- Relevance Judgements for Fair Ranking -- A Study of Term-Topic Embeddings for Ranking -- Topic Refinement in Multi-Level Hate Speech Detection -- Is Cross-modal Information Retrieval Possible without Training? -- Adversarial Adaptation for French Named Entity Recognition -- Exploring Fake News Detection with Heterogeneous Social Media Context Graphs -- Justifying Multi-Label Text Classifications for Healthcare Applications -- Doc2Query-: When Less is More -- Towards Quantifying The Privacy Of Redacted Text. -Detecting Stance of Authorities towards Rumors in Arabic Tweets: A Preliminary Study -- Leveraging Comment Retrieval for Code Summarization -- CPR: Cross-domain Preference Ranking with User Transformation -- Colbert-FairPRF: Towards Fair Pseudo-Relevance Feedback in Dense Retrieval -- C2LIR: Continual Cross-lingual Transfer for Low-Resource Information Retrieval -- Joint Extraction and Classification of Danish Competences for Job Matching -- A Study on FGSM Adversarial Training for Neural Retrieval -- Dialogue-to-Video Retrieval -- Time-dependent next-basket recommendations -- Investigating the Impact of Query Representation on Medical Information Retrieval -- Where a Little Change Makes a Big Difference: A Preliminary Exploration of Children's Queries -- Multi-document QA with GPT-3 and Neural Reranking -- Towards Detecting InterestingIdeas Expressed in Text -- Towards Linguistically Informed Multi-Objective Transformer Pre-Training for Natural Language Inference -- Dirichlet-Survival Process: Scalable Inference of Topic-Dependent Diffusion Networks -- Consumer Health Question Answering Using Off-the-shelf Components -- MOO-CMDS+NER: Named Entity Recognition-based Extractive Comment-oriented Multi-document Summarization -- Don't Raise Your Voice, Improve Your Argument: Learning to Retrieve Convincing Arguments -- Learning Query-Space Document Representations for High-Recall Retrieval -- Investigating Conversational Search Behavior For Domain Exploration -- Evaluating Humorous Response Generation to Playful Shopping Requests -- Joint Span Segmentation and Rhetorical Role Labeling with Data Augmentation for Legal Documents -- Trigger or not Trigger: Dynamic Thresholding for Few Shot Event Detection -- The Impact of a Popularity Punishing Hyperparameter on ItemKNN Recommendation Performance -- Neural Ad hoc Retrieval Meets Information Extraction -- Augmenting Graph Convolutional Networks with Textual Data for Recommendations -- Utilising Twitter Metadata for Hate Classification -- Evolution of Filter Bubbles and Polarization in News Recommendation -- Capturing Cross-platform Interaction for Identifying Coordinated Accounts of Misinformation Campaigns.