1. e
like a good neighbor; tapeworm eclair. Imgflip Pro GIF Maker Meme Generator Blank Meme Templates GIF Templates Chart Maker Demotivational Maker Image Resizer ...
An image tagged e
2. My tapeworm...or is is a flat, segmented worm of another class?
Oct 7, 2010 · I was wondering if the name was wrong. Thanks for the new name. Enjoy the sushi often! ... Like a good neighbor, tapeworm eclair.
Heh, the average person doesn't consider segmented flatworms to be worthy of keeping. Unless you're writing a research paper on them or something. You're special my friend. :thumbsup: Definately a good conversation starter though: "Dude, you gotta come over and check out my new tapeworm...
3. Anybody know the story behind "Excuse me I was looking at the ...
Aug 5, 2011 · I've been wondering for a rather long while what in the world this guy's hand is doing on this shark. Anybody know what actually went down?
I've been wondering for a rather long while what in the world this guy's hand is doing on this shark. Anybody know what actually went down? Photoshop or weird luck?
4. MS_memer_group e Memes & GIFs - Imgflip
e · e | like a good neighbor; tapeworm eclair | image tagged in e | made. by anonymous. 114 views, 6 upvotes. share. Check the NSFW checkbox to enable not-safe ...
Welcome to MS_memer_group. Earn your PhD in sh*tposting during your spare tim...
5. Random Memes And Pics To Brighten Your Day - Memebase - Cheezburger
5. Food - Like a Good Neighbor S Tape Worm Eclair. Via abbiistabbii. 6.
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Jan 15, 2020 · ... like a good neighbor tapeworm eclair - a Good Neighbor 21 22 Tape Worm Eclair. Save. 42. distracted boyfriend meme music - me, driving ...
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Apr 12, 2021 · ... like a good neighbor tapeworm eclair - a Good Neighbor Tape. Save. 24. funny pics and memes - lady - rabittooth. Save. 25. funny pics and ...
A fine selection of funny memes and pics to help your through the day.
8. Data - Journal of Artificial Intelligence Research
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################################################################################ # # Noun-Modifier Compositions # # Peter Turney # July 18, 2012 # # # This file contains 2,180 seven-choice questions for evaluating # noun-modifier composition models. The dataset has been randomly # split into 680 questions for training (e.g., development, parameter # tuning) and 1,500 questions for testing. The training and testing # sets are divided by comment headers. # # These multiple-choice questions were generated from WordNet 3.0. # WordNet is available at the following URL: # # http://wordnet.princeton.edu/ # # The method used to generate the questions is described in the following # paper: # # Turney, P.D. (2012), Domain and Function: A Dual-Space Model of # Semantic Relations and Compositions, Journal of Artificial # Intelligence Research, 44, 533-585. # # Each line in this file is one seven-choice question, with the following # format: # # term1 | term2 | term3 | term4 | term5 | term6 | term7 | term8 # # The first term is the stem bigram and the following terms are choice # unigrams. The correct choice is always term2. Your algorithm for guessing # should break ties randomly; it should not use the order of the choices # to break ties. # # See Section 4.2 (Turney, 2012) for more explanation of this dataset. # ################################################################################ # ##################...
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